Design and analysis of multi-frame super resolution using OpenCV
Tsu-Ming Liu, Chih‐Kai Chang, Yuhao Huang, Chi-Cheng Ju · 2016
Multi-frame super-resolution performance would highly depends on the quality of low-resolution observations. While a wide range of multi-frame super-resolution algorithms now exist, the selection design of low resolution images has not been adequately explored. This paper presents an OpenCV-based multi-frame super resolution and explores a sharpness index to optimize the low-resolution images. The experimental results reveal that the proposed frame selection design has considerable effectiveness and seventy to ninety iterations are required for convergence to desired image quality.